|
--- |
|
license: cc-by-nc-sa-4.0 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: REBEL-ComSci |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# REBEL-ComSci |
|
|
|
This model is a fine-tuned version of [Babelscape/rebel-large](https://huggingface.co/Babelscape/rebel-large) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 5.0770 |
|
|
|
## Model description |
|
|
|
More information needed |
|
|
|
## Intended uses & limitations |
|
|
|
More information needed |
|
|
|
## Training and evaluation data |
|
|
|
More information needed |
|
|
|
## Training procedure |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 0.002 |
|
- train_batch_size: 32 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| No log | 1.0 | 210 | 5.2197 | |
|
| No log | 2.0 | 420 | 5.0887 | |
|
| 5.8771 | 3.0 | 630 | 5.1124 | |
|
| 5.8771 | 4.0 | 840 | 5.0977 | |
|
| 4.5631 | 5.0 | 1050 | 5.0572 | |
|
| 4.5631 | 6.0 | 1260 | 5.0645 | |
|
| 4.5631 | 7.0 | 1470 | 5.0819 | |
|
| 4.5209 | 8.0 | 1680 | 5.0690 | |
|
| 4.5209 | 9.0 | 1890 | 5.0819 | |
|
| 4.4896 | 10.0 | 2100 | 5.0770 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.23.1 |
|
- Pytorch 1.12.1+cu113 |
|
- Tokenizers 0.13.1 |
|
|
